A Non-Intrusive Signal-Based Fault Diagnosis Method for Proton Exchange Membrane Water Electrolyzer Using Empirical Mode Decomposition

Farid Aubras, Cedric Damour, Michel Benne, Sebastien Boulevard, Miloud Bessafi, Brigitte Grondin-Perez, Amangoua J.-J. Kadjo and Jonathan Deseure
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Farid Aubras: Laboratoire d’Energétique, d’Electronique et Procédés (LE2P)—Energy Lab, University of La Réunion, 15, Avenue René Cassin CS 92003, CEDEX 9, 97744 Saint-Denis, France
Cedric Damour: Laboratoire d’Energétique, d’Electronique et Procédés (LE2P)—Energy Lab, University of La Réunion, 15, Avenue René Cassin CS 92003, CEDEX 9, 97744 Saint-Denis, France
Michel Benne: Laboratoire d’Energétique, d’Electronique et Procédés (LE2P)—Energy Lab, University of La Réunion, 15, Avenue René Cassin CS 92003, CEDEX 9, 97744 Saint-Denis, France
Sebastien Boulevard: Laboratoire d’Energétique, d’Electronique et Procédés (LE2P)—Energy Lab, University of La Réunion, 15, Avenue René Cassin CS 92003, CEDEX 9, 97744 Saint-Denis, France
Miloud Bessafi: Laboratoire d’Energétique, d’Electronique et Procédés (LE2P)—Energy Lab, University of La Réunion, 15, Avenue René Cassin CS 92003, CEDEX 9, 97744 Saint-Denis, France
Brigitte Grondin-Perez: Laboratoire d’Energétique, d’Electronique et Procédés (LE2P)—Energy Lab, University of La Réunion, 15, Avenue René Cassin CS 92003, CEDEX 9, 97744 Saint-Denis, France
Amangoua J.-J. Kadjo: Laboratoire d’Energétique, d’Electronique et Procédés (LE2P)—Energy Lab, University of La Réunion, 15, Avenue René Cassin CS 92003, CEDEX 9, 97744 Saint-Denis, France
Jonathan Deseure: University of Grenoble Alpes, CNRS, Grenoble INP, LEPMI, 38000 Grenoble, France

Energies, 2021, vol. 14, issue 15, 1-11

Abstract: This work focuses on a signal-based diagnosis approach dedicated to proton exchange membrane water electrolyzer (PEM WE) anode pump fault. The PEM WE cell measurements are performed with an experimental test bench to highlight the impact of water flow rate in the anode compartment. This approach is non-intrusive, and it can detect anode flow rate variation during the electrolysis and is designed to fulfill online diagnosis requirements. Contrary to electrochemical impedance spectroscopy-based approaches (EIS), this method stands out from existing procedures as a result of its few requirements, excluding any signal with perturbing amplitude. Therefore, the electrolyzer remains continuously available, even while the analysis is performed. The empirical mode decomposition (EMD) is used to decompose the signal variation into a sum of amplitude modulation and frequency modulation (AM-FM) components, called intrinsic mode functions (IMFs). In this work, the PEM WE current signal is decomposed into several IMFs using EMD. Then, the energetic contribution of each IMF is calculated. Experimental results exhibited that the energetic contribution of IMFs can be used as relevant criteria for fault diagnosis in PEM WE systems. This process only requires monitoring of the PEM WE current and has a low computational cost, which is a significant economic and technical advantage.

Keywords: proton exchange membrane water electrolyzer; empirical mode decomposition (EMD); signal-based fault diagnosis; non-intrusive method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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